Data Engineer Supervisor

We are looking for a Data Engineer Supervisor at McLane Intelligent Solutions to lead our data engineering team, ensuring that our data architecture is robust, scalable, and aligned with our business needs. This position requires a blend of technical expertise and leadership skills, as the supervisor will oversee the design, development, and implementation of data systems and processes. The ideal candidate will foster a collaborative environment and mentor team members while engaging with other departments to understand data requirements and drive data-driven decision-making.

Key Responsibilities:

• Lead the data engineering team in designing, developing, and maintaining data pipelines and architectures.
• Collaborate with stakeholders across the business to collect and define data requirements, ensuring data quality and consistency across systems.
• Monitor and optimize data workflows for improved efficiency and scalability.
• Mentor and guide team members to enhance their technical skills and career development.
• Oversee the integration of new data sources and systems with existing infrastructure.
• Implement best practices for data management and governance, working closely with data analysts and scientists to support their data needs.
• Stay current with emerging trends in data engineering and related technologies.

Requirements:

• Academic Qualifications:
  • A Bachelor's degree in Computer Science, Information Technology, or a closely related field (Master's degree preferred).
• Experience:
  • Demonstrated experience as a Data Engineer or in a comparable position focused on data architecture and management.
  • High proficiency in programming languages such as Python and Java.
  • Experience with ETL tools and data pipeline architectures.
  • Familiarity with data warehousing technologies (e.g., Redshift, Snowflake, BigQuery) and database systems (e.g., SQL, NoSQL).
  • Experience with Power BI and Microsoft Azure (including Data Lake).
• Skills:
  • Proven track record in team leadership and management.
  • Strong analytical abilities and problem-solving skills.
  • Exceptional communication and interpersonal abilities, with the capability to work effectively across teams and departments.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is advantageous.
  • Understanding of data governance, data privacy, and compliance regulations.

Benefits:

• Competitive base salary and comprehensive benefits package including health insurance, retirement plans, and paid time off.
• Ongoing training and professional development opportunities.
• Fast-paced and collaborative work environment with opportunities for career advancement.